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Chenhui Wang's Projects

apollo icon apollo

Apollo(阿波罗)是携程框架部门研发的分布式配置中心,能够集中化管理应用不同环境、不同集群的配置,配置修改后能够实时推送到应用端,并且具备规范的权限、流程治理等特性,适用于微服务配置管理场景。

cert_fetcher icon cert_fetcher

Fetch certificates from crt.sh and Facebook Certificate Transparency

cis554 icon cis554

Object Oriented Programming in C++

clrs icon clrs

:notebook:Solutions to Introduction to Algorithms

cse691 icon cse691

Parallel Computing & Multithreading

cyclegan-tensorflow icon cyclegan-tensorflow

Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf

dat8 icon dat8

General Assembly's 2015 Data Science course in Washington, DC

dcgan-tensorflow icon dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deligan icon deligan

This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.

findomain icon findomain

The fastest and cross-platform subdomain enumerator, do not waste your time.

learningtocompare_fsl icon learningtocompare_fsl

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

pix2pix icon pix2pix

Image-to-image translation using conditional adversarial nets

pix2pix-tensorflow icon pix2pix-tensorflow

Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

renpy icon renpy

The Ren'Py Visual Novel Engine

shell icon shell

Linux命令行与shell脚本编程大全案例

spring-boot-examples icon spring-boot-examples

about learning Spring Boot via examples. Spring Boot 教程、技术栈示例代码,快速简单上手教程。

surf2017 icon surf2017

Style Transfer based on Generative Adversarial Network

tensorflow icon tensorflow

Computation using data flow graphs for scalable machine learning

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